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Senior / Staff AI Research Engineer, Data Infrastructure

Roboforce
Milpitas, CAPosted 24 days ago

Role Overview

Roboforce is hiring a Senior / Staff AI Research Engineer, Data Infrastructure. This is a full-time role in Milpitas. posted 3 weeks ago. the employer indicates they sponsor work visas. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

Why RoboForce

RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
 
We are looking for a Senior / Staff AI Research Engineer, Data Infrastructure to build the data and learning engine behind RoboForce's Physical AI stack. In this role, you will own the full pipeline — from raw teleoperation and UMI device data collection through curation, annotation, and storage, to post-training infrastructure that scores demonstrations, identifies failure patterns, and closes the loop back into model retraining.
 
Responsibilities
  • Design and maintain end-to-end data collection pipelines ingesting multimodal demonstration data from teleoperation devices and UMI hardware, including synchronization, versioning, and distributed storage at scale.
  • Build annotation tooling and data curation workflows — quality filtering, deduplication, episode scoring, and domain reweighting — to produce high-quality training datasets for robot policy learning.
  • Develop post-SFT reinforcement learning infrastructure: implement reward scoring on demonstrations, mine and categorize failure patterns, and feed curated failure data back into the retraining loop.
  • Build evaluation and test infrastructure to log policy rollouts on-robot, capture structured results, and surface actionable diagnostics for the research team.
  • Collaborate with ML researchers to define data schemas, episode formats, and pipeline interfaces that support rapid iteration on VLA and manipulation policy training.
  • Architect scalable storage and retrieval systems for heterogeneous robot data (vision, proprioception, action, language) across both cloud and on-prem environments.
Requirements
  • Bachelor's or Master's degree in Computer Science, Robotics, or related field with 5+ years of experience.
  • Strong proficiency in Python and experience building production-grade data pipelines and ETL systems.
  • Hands-on experience with large-scale dataset management, including versioning, deduplication, quality filtering, and distributed storage (e.g., S3, GCS, HDF5, WebDataset, Zarr).
  • Experience building or working with post-training infrastructure — SFT pipelines, reward modeling, or RL training loops (e.g., PPO, DPO, rejection sampling).
  • Familiarity with deep learning frameworks (PyTorch, JAX) and ML training workflows sufficient to collaborate tightly with research teams.
  • Requires 5 days/week in-office collaboration with the teams.
Bonus Qualifications
  • Experience with robotics data collection hardware — teleoperation devices, UMI, GELLO, or similar — and the synchronization and preprocessing challenges they introduce.
  • Familiarity with robot learning pipelines: imitation learning, behavior cloning, or VLA/VLM fine-tuning workflows.
  • Experience building evaluation or experiment tracking infrastructure (e.g., Weights & Biases, MLflow, custom rollout loggers).
  • Proven ability to design annotation tooling or human-in-the-loop labeling systems for structured or multimodal data.
Benefits
  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.

About Roboforce

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Roboforce

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Frequently Asked Questions

How do I apply for the Senior / Staff AI Research Engineer, Data Infrastructure position at Roboforce?

Use the Apply button above to submit your application directly to Roboforce. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior / Staff AI Research Engineer, Data Infrastructure position at Roboforce located?

This position is based in Milpitas. Roboforce has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior / Staff AI Research Engineer, Data Infrastructure at Roboforce earn?

Roboforce has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior / Staff AI Research Engineer, Data Infrastructure role at Roboforce posted?

This role was posted on June 15, 2026 (24 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

Does Roboforce sponsor work visas for this role?

Yes. Roboforce has indicated that this position is open to candidates requiring work visa sponsorship. Confirm specifics (H-1B, OPT, country eligibility, etc.) during the recruiter screen.

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